Discovering the Dynamics of Smart Business Networks

10 Pages Posted: 22 Feb 2008

See all articles by Louis-Francois Pau

Louis-Francois Pau

Copenhagen Business School (CBS); Rotterdam School of Management; L.M. Ericsson; GIBS

Date Written: March 2007, 12

Abstract

In an earlier paper ,was discussed the necessary evolution from smart business networks, as based on process need satisfaction and governance, into business genetics [1] based on strategic bonds or decay and opportunistic complementarities. This paper will describe an approach and diffusion algorithms whereby to discover the dynamics of emergent smart business network structures and their performance in view of collaboration patterns over time. Some real life early analyses of dynamics are discussed based on cases and date from the high tech sector. Lessons learnt from such cases are also given on overall smart network dynamics with respect to local interaction strategies, as modelled like in business genetics by individual partner profiles, goals and constraints. It shows the weakness of static "business operating systems", as well as the possibly destabilizing clustering effects amongst nodes linked to filtering, evaluation and own preferences.

Keywords: smart business networks, SBN, business genetics, network performance, dynamics

JEL Classification: L15, O32, M, L22

Suggested Citation

Pau, Louis-Francois, Discovering the Dynamics of Smart Business Networks (March 2007, 12). ERIM Report Series Reference No. ERS-2007-081-LIS, Available at SSRN: https://ssrn.com/abstract=1096395

Louis-Francois Pau (Contact Author)

Copenhagen Business School (CBS) ( email )

Solbjerg Plads 3
Frederiksberg C, DK - 2000
Denmark

Rotterdam School of Management ( email )

P.O. Box 1738
Room T08-21
3000 DR Rotterdam, 3000 DR
Netherlands

L.M. Ericsson ( email )

Kista
Sweden

GIBS ( email )

Lynnwood Road
Pretoria 5100, 0002
South Africa

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